AI Governance Analyst - Hybrid
-
IT/Tech
AI Business & Operations, AI Evaluation, Information Security & Data Protection -
Business
AI Business & Operations, AI Evaluation
Job Description & How to Apply Below
Contract type:
Permanent
Location:
London
Working style:
Hybrid 50% home/office based
As part of RLAM’s AI acceleration, the AI Governance Analyst will play a pivotal role in shaping and ope rationalising AI governance across the organisation. Joining the Data & AI Transformation team, this role acts as the key interface for AI governance, working closely with colleagues in Risk, business teams, and the Group Data & AI Governance function.
You will be responsible for implementing practical AI controls, ensuring RLAM’s readiness and compliance with the EU AI Act, and translating high‑level principles into clear, actionable processes that can be adopted across the business. This role requires someone who understands both technology and business needs, applying governance in a pragmatic, hands‑on way rather than through purely theoretical or legalistic frameworks.
If you’re passionate about Responsible and Ethical AI, keen to build deep experience in a growing field, and excited by the chance to influence how a major asset manager uses AI safely and effectively, this is a fantastic opportunity to grow your career while making a real impact.About the role
Job description:
AI Governance Analyst
Contract type:
Permanent
Location:
London
Working style:
Hybrid 50% home/office based
As part of RLAM’s AI acceleration, the AI Governance Analyst will play a pivotal role in shaping and ope rationalising AI governance across the organisation. Joining the Data & AI Transformation team, this role acts as the key interface for AI governance, working closely with colleagues in Risk, business teams, and the Group Data & AI Governance function.
You will be responsible for implementing practical AI controls, ensuring RLAM’s readiness and compliance with the EU AI Act, and translating high‑level principles into clear, actionable processes that can be adopted across the business. This role requires someone who understands both technology and business needs, applying governance in a pragmatic, hands‑on way rather than through purely theoretical or legalistic frameworks.
If you’re passionate about Responsible and Ethical AI, keen to build deep experience in a growing field, and excited by the chance to influence how a major asset manager uses AI safely and effectively, this is a fantastic opportunity to grow your career while making a real impact.About the role
AI Governance Framework
- Embed RL’s Data & AI Governance Framework, standards, ethics principles and procedures within RLAM.
- Maintain up‑to‑date policies, processes and templates aligned to legislation.
- Translate emerging AI regulations (e.g., EU AI Act, GDPR, CPRA) into practical guidance for RLAM teams.
AI Governance and Oversight
- Track and report AI metrics, including maintaining RLAM’s AI inventory.
- Maintain evidence of compliance with Responsible AI principles (e.g., fairness, explainability, human oversight).
- Record and escalate ethical issues; support AI risk identification and assurance reviews.
- Embed Responsible AI controls and governance checkpoints into AI workflows.
Organisational Culture & Data Ethics Literacy
- Deliver training and awareness activities across the business.
- Promote good AI ethics practice through day‑to‑day engagement.
- Bachelor’s degree in business, data science, computer science, information management, statistics, ethics, law, or another relevant field.
- Understanding of Data & AI strategy, AI governance, risk, compliance, data protection or related role, and how this impacts a regulated environment.
- Familiarity with AI and machine learning concepts, including foundational understanding of ML models, LLMs, and their lifecycle.
- Understanding of key regulations and frameworks, including EU AI Act and UK GDPR; awareness of broader privacy, risk,…
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